SOTAVerified

Video Classification

Video Classification is the task of producing a label that is relevant to the video given its frames. A good video level classifier is one that not only provides accurate frame labels, but also best describes the entire video given the features and the annotations of the various frames in the video. For example, a video might contain a tree in some frame, but the label that is central to the video might be something else (e.g., “hiking”). The granularity of the labels that are needed to describe the frames and the video depends on the task. Typical tasks include assigning one or more global labels to the video, and assigning one or more labels for each frame inside the video.

Source: Efficient Large Scale Video Classification

Papers

Showing 276300 of 455 papers

TitleStatusHype
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification0
A Unified Method for First and Third Person Action Recognition0
Automatic Concept Extraction for Concept Bottleneck-based Video Classification0
AVD: Adversarial Video Distillation0
AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder0
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation0
Benchmarking Edge AI Platforms for High-Performance ML Inference0
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification0
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories0
Beyond Transfer Learning: Co-finetuning for Action Localisation0
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers0
BOREx: Bayesian-Optimization--Based Refinement of Saliency Map for Image- and Video-Classification Models0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
Cascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization0
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos0
Classifying Video based on Automatic Content Detection Overview0
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos0
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets0
Compound Memory Networks for Few-shot Video Classification0
Context-Aware Detection of Mixed Critical Events using Video Classification0
Learning Video Representations using Contrastive Bidirectional Transformer0
Convolutional Drift Networks for Video Classification0
Co-training Transformer with Videos and Images Improves Action Recognition0
CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)95.2Unverified
2MA-LMMAccuracy (%)93Unverified
3S5Accuracy (%)90.7Unverified
4TranS4merAccuracy (%)90.27Unverified
5D-Sprv.Accuracy (%)89.9Unverified
6ViS4merAccuracy (%)88.2Unverified
7GHRMAccuracy (%)75.5Unverified
8TimeceptionAccuracy (%)71.3Unverified
9VideoGraphAccuracy (%)69.5Unverified
#ModelMetricClaimedVerifiedStatus
1HERMESAccuracy (%)93.5Unverified
2MA-LMMAccuracy (%)93.2Unverified
3S5Accuracy (%)90.8Unverified
4D-Sprv.Accuracy (%)90Unverified
5TranS4merAccuracy (%)89.3Unverified
6ViS4merAccuracy (%)88.4Unverified
7TSNAccuracy (%)73.4Unverified
#ModelMetricClaimedVerifiedStatus
1VTNAccuracy77.85Unverified
2I3DAccuracy72.11Unverified
3ConvLSTMAccuracy69.71Unverified
#ModelMetricClaimedVerifiedStatus
1DCGN (self-attention graph pooling)Hit@187.7Unverified
2Hierarchical LSTM with MoEHit@186.8Unverified
3Mixture-of-2-ExpertsHit@170.1Unverified
#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy99.5Unverified
2CNN+LSTM1:1 Accuracy98Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridmAP38.2Unverified
#ModelMetricClaimedVerifiedStatus
1Cooperative Ours (3rd-person)Accuracy (%)24.7Unverified
#ModelMetricClaimedVerifiedStatus
1MultigridTop-177.6Unverified
#ModelMetricClaimedVerifiedStatus
1VideoAccuracy (%)73.95Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy84Unverified
#ModelMetricClaimedVerifiedStatus
1MSNet-R50En (ours)Top-5 Accuracy91Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Label Prototypes Contrastive LearningAUPR88.4Unverified